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goblinko [34]
2 years ago
13

Can you multiply these decimals in your head? You should be able to do it very quickly. Can you figure out the trick? 26.9 × 52.

8 × 100.1 × 0.00 × 999.9632 = ?
Mathematics
2 answers:
atroni [7]2 years ago
7 0

Answer:

0.00

Step-by-step explanation:

Yes, anyone can multiply these decimals very quickly.

As these decimals include 0 and we know that any number multiply with zero (0) result is always zero (0).

Example: 5 × 0 = 0

⇒ 26.9 × 52.8 × 100.1 × 0.00 × 999.9632 = 0.00

Vanyuwa [196]2 years ago
3 0

I’m kinda dumb but isn’t it 0 because anything times 0 is 0

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Answer:

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Step-by-step explanation:

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Then you must convert that into a percentage:

0.28 = 28%

Hope this helps you out! : )

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lana66690 [7]
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2 years ago
Find a ⋅ b. a = 8i + 6j, b = 4i + 5j
frutty [35]
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Bones Brothers & Associates prepare individual tax returns. Over prior years, Bones Brothers have maintained careful records
madreJ [45]

Answer:

For this case we have the following info related to the time to prepare a return

\mu =90 , \sigma =14

And we select a sample size =49>30 and we are interested in determine the standard deviation for the sample mean. From the central limit theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And the standard deviation would be:

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And the best answer would be

b. 2 minutes

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

Solution to the problem

For this case we have the following info related to the time to prepare a return

\mu =90 , \sigma =14

And we select a sample size =49>30 and we are interested in determine the standard deviation for the sample mean. From the central limit theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And the standard deviation would be:

\sigma_{\bar X} =\frac{14}{\sqrt{49}}= 2

And the best answer would be

b. 2 minutes

3 0
2 years ago
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